Code and Results for Chapter 9:

These are results and code for the problems and examples found in Chapter 9 of this famous book.

Various Figures and Problems:
  1. prob_9_2.m (clustering the household data)
  2. prob_9_3.m (a classification tree for the household data)
  3. prob_9_4.m (clustering the measure data)
  4. prob_9_5.m (the functions cluster and inconsistent)
  5. prob_9_6.m (cross validation on the tibetan data)
  6. prob_9_7.m (classifying the bank data)
  7. prob_9_7_mdG.m (using a multidimensional Gaussian)
  8. prob_9_7_prD.m (using a product kernel density)
  9. prob_9_8.m (the ROC curves for the bank data)
  10. prob_9_7_mdG_ROC.m (the ROC using a multidimensional Gaussian)
  11. prob_9_7_prD_ROC.m (the ROC using a product kernel density)
  12. prob_9_9.m (a classification tree for the bank data)
  13. prob_9_10.m (k-means clustering of the bank data)
  14. prob_9_11.m (a MC study of the probability of misclassification)
  15. prob_9_13.m (a classification tree for the flea data)
  16. prob_9_15.m (classifying two species of iris: iris versicolor and virginica)
  17. prob_9_16.m (classifying two species of iris: iris virginica and setosa)

John Weatherwax
Last modified: Sun May 15 08:46:34 EDT 2005